AI Messaging Automation Integration

Our high-volume messaging platform is ready for an AI upgrade. The goal is to embed a production-ready large-language-model workflow that generates accurate, on-brand responses across both Email and SMS rails while feeding a real-time analytics dashboard.

Scope of work
• Build an AI-driven reply engine that handles order-processing questions, general customer inquiries, and scheduled promotional messages.
• Orchestrate the flow from incoming message → LLM prompt → response delivery, with fallback logic for edge cases.
• Tie the engine into our existing email and SMS providers through clean, well-documented APIs.
• Produce a lightweight dashboard that surfaces message open rates, click-through rates, and order-processing statistics, with configurable alerts.
• Leave hooks for optional voice-to-text / text-to-voice flows so we can expand to phone support later.

Tech expectations
Python or Node.js on the backend is ideal, but I’m open to equivalent stacks if the latency profile is comparable. You should be comfortable with prompt engineering, vector stores, and deployment of scalable microservices.

Timeline & delivery
An MVP that passes internal QA is needed within 40–50 billed hours. I’m ready to kick off immediately and will set milestones for AI core, channel integration, and dashboard. Please share one similar automation you have shipped and the tools you chose, then outline how you would tackle the first milestone.